1 Report Overview

• 1.1 Study Scope
• 1.2 Key Market Segments
• 1.3 Market Analysis by Type
  • 1.3.1 Global AI in Healthcare Market Size Growth Rate by Type: 2020 VS 2026
  • 1.3.2 Hardware
  • 1.3.3 Software
  • 1.3.4 Services
• 1.4 Market by Application
  • 1.4.1 Global AI in Healthcare Market Share by Application: 2020 VS 2026
  • 1.4.2 Patient Data and Risk Analysis
  • 1.4.3 Lifestyle Management and Monitoring
  • 1.4.4 Precision Medicine
  • 1.4.5 In-Patient Care and Hospital Management
  • 1.4.6 Medical Imaging and Diagnosis
  • 1.4.7 Drug Discovery
  • 1.4.8 Virtual Assistant
  • 1.4.9 Others
• 1.5 Study Objectives
• 1.6 Years Considered

2 Executive Summary

• 2.1 Global AI in Healthcare Market Perspective (2015-2026)
• 2.2 AI in Healthcare Growth Trends by Regions
  • 2.2.1 AI in Healthcare Market Size by Regions: 2015 VS 2020 VS 2026
  • 2.2.2 AI in Healthcare Historic Market Share by Regions (2018-2019)
• 2.3 AI in Healthcare Industry Dynamic
  • 2.3.1 AI in Healthcare Market Trends
  • 2.3.2 AI in Healthcare Market Drivers

3 Competition Landscape by Key Players

• 3.1 AI in Healthcare Revenue by Players (2019-2020)
• 3.2 AI in Healthcare Key Players Head office and Area Served
• 3.3 Key Players AI in Healthcare Product/Solution/Service
• 3.4 Date of Enter into AI in Healthcare Market
• 3.5 Key Players AI in Healthcare Funding/Investment Analysis
• 3.6 Global Key Players AI in Healthcare Valuation & Market Capitalization
• 3.7 Mergers & Acquisitions, Expansion Plans

4 Global AI in Healthcare Market Size by Type (2019-2026)

5 Global AI in Healthcare Market Size by Application (2019-2026)

6 North America

• 6.1 North America AI in Healthcare Market Forecast (2019-2026)
• 6.2 North America AI in Healthcare Market Size by Type (2015-2020)
• 6.3 North America AI in Healthcare Market Size by Application (2015-2020)
• 6.4 North America AI in Healthcare Market Size by Country (2015-2020)
  • 6.4.1 United States
  • 6.4.2 Canada

7 Europe

• 7.1 Europe AI in Healthcare Market Forecast (2019-2026)
• 7.2 Europe AI in Healthcare Market Size by Type (2015-2020)
• 7.3 Europe AI in Healthcare Market Size by Application (2015-2020)
• 7.4 Europe AI in Healthcare Market Size by Country (2015-2020)
  • 7.4.1 Germany
  • 7.4.2 France
  • 7.4.3 U.K.
  • 7.4.4 Italy
  • 7.4.5 Russia
  • 7.4.6 Nordic

8 Asia-Pacific

• 8.1 Asia-Pacific AI in Healthcare Market Forecast (2019-2026)
• 8.2 Asia-Pacific AI in Healthcare Market Size by Type (2015-2020)
• 8.3 Asia-Pacific AI in Healthcare Market Size by Application (2015-2020)
• 8.4 Asia-Pacific AI in Healthcare Market Size by Region (2015-2020)
  • 8.4.1 China
  • 8.4.2 Japan
  • 8.4.3 South Korea
  • 8.4.4 Southeast Asia
  • 8.4.5 India
  • 8.4.6 Australia

9 Latin America

• 9.1 Latin America AI in Healthcare Market Forecast (2019-2026)
• 9.2 Latin America AI in Healthcare Market Size by Type (2015-2020)
• 9.3 Latin America AI in Healthcare Market Size by Application (2015-2020)
• 9.4 Latin America AI in Healthcare Market Size by Country (2015-2020)
  • 9.4.1 Mexico
  • 9.4.2 Brazil

10 Middle East & Africa

• 10.1 Middle East & Africa AI in Healthcare Market Forecast (2019-2026)
• 10.2 Middle East & Africa AI in Healthcare Market Size by Type (2015-2020)
• 10.3 Middle East & Africa AI in Healthcare Market Size by Application (2015-2020)
• 10.4 Middle East & Africa AI in Healthcare Market Size by Country (2015-2020)
  • 10.4.1 Turkey
  • 10.4.2 Saudi Arabia
  • 10.4.3 UAE

11Key Players Profiles

• 11.1 NVIDIA
  • 11.1.1 NVIDIA Company Details
  • 11.1.2 NVIDIA Business Overview
  • 11.1.3 NVIDIA AI in Healthcare Introduction
  • 11.1.4 NVIDIA Revenue in AI in Healthcare Business (2019-2020))
  • 11.1.5 NVIDIA Recent Development
• 11.2 Google
  • 11.2.1 Google Company Details
  • 11.2.2 Google Business Overview
  • 11.2.3 Google AI in Healthcare Introduction
  • 11.2.4 Google Revenue in AI in Healthcare Business (2019-2020))
  • 11.2.5 Google Recent Development
• 11.3 IBM
  • 11.3.1 IBM Company Details
  • 11.3.2 IBM Business Overview
  • 11.3.3 IBM AI in Healthcare Introduction
  • 11.3.4 IBM Revenue in AI in Healthcare Business (2019-2020))
  • 11.3.5 IBM Recent Development
• 11.4 Microsoft
  • 11.4.1 Microsoft Company Details
  • 11.4.2 Microsoft Business Overview
  • 11.4.3 Microsoft AI in Healthcare Introduction
  • 11.4.4 Microsoft Revenue in AI in Healthcare Business (2019-2020))
  • 11.4.5 Microsoft Recent Development
• 11.5 General Vision
  • 11.5.1 General Vision Company Details
  • 11.5.2 General Vision Business Overview
  • 11.5.3 General Vision AI in Healthcare Introduction
  • 11.5.4 General Vision Revenue in AI in Healthcare Business (2019-2020))
  • 11.5.5 General Vision Recent Development
• 11.6 Enlitic
  • 11.6.1 Enlitic Company Details
  • 11.6.2 Enlitic Business Overview
  • 11.6.3 Enlitic AI in Healthcare Introduction
  • 11.6.4 Enlitic Revenue in AI in Healthcare Business (2019-2020))
  • 11.6.5 Enlitic Recent Development
• 11.7 Next IT
  • 11.7.1 Next IT Company Details
  • 11.7.2 Next IT Business Overview
  • 11.7.3 Next IT AI in Healthcare Introduction
  • 11.7.4 Next IT Revenue in AI in Healthcare Business (2019-2020))
  • 11.7.5 Next IT Recent Development
• 11.8 Welltok
  • 11.8.1 Welltok Company Details
  • 11.8.2 Welltok Business Overview
  • 11.8.3 Welltok AI in Healthcare Introduction
  • 11.8.4 Welltok Revenue in AI in Healthcare Business (2019-2020))
  • 11.8.5 Welltok Recent Development
• 11.9 ICarbonX
  • 11.9.1 ICarbonX Company Details
  • 11.9.2 ICarbonX Business Overview
  • 11.9.3 ICarbonX AI in Healthcare Introduction
  • 11.9.4 ICarbonX Revenue in AI in Healthcare Business (2019-2020))
  • 11.9.5 ICarbonX Recent Development
• 11.10 Recursion Pharmaceuticals
  • 11.10.1 Recursion Pharmaceuticals Company Details
  • 11.10.2 Recursion Pharmaceuticals Business Overview
  • 11.10.3 Recursion Pharmaceuticals AI in Healthcare Introduction
  • 11.10.4 Recursion Pharmaceuticals Revenue in AI in Healthcare Business (2019-2020))
  • 11.10.5 Recursion Pharmaceuticals Recent Development
• 11.11 GE
  • 10.11.1 GE Company Details
  • 10.11.2 GE Business Overview
  • 10.11.3 GE AI in Healthcare Introduction
  • 10.11.4 GE Revenue in AI in Healthcare Business (2019-2020))
  • 10.11.5 GE Recent Development
• 11.12 Siemens
  • 10.12.1 Siemens Company Details
  • 10.12.2 Siemens Business Overview
  • 10.12.3 Siemens AI in Healthcare Introduction
  • 10.12.4 Siemens Revenue in AI in Healthcare Business (2019-2020))
  • 10.12.5 Siemens Recent Development
• 11.13 Johnson & Johnson
  • 10.13.1 Johnson & Johnson Company Details
  • 10.13.2 Johnson & Johnson Business Overview
  • 10.13.3 Johnson & Johnson AI in Healthcare Introduction
  • 10.13.4 Johnson & Johnson Revenue in AI in Healthcare Business (2019-2020))
  • 10.13.5 Johnson & Johnson Recent Development
• 11.14 Medtronic
  • 10.14.1 Medtronic Company Details
  • 10.14.2 Medtronic Business Overview
  • 10.14.3 Medtronic AI in Healthcare Introduction
  • 10.14.4 Medtronic Revenue in AI in Healthcare Business (2019-2020))
  • 10.14.5 Medtronic Recent Development
• 11.15 Careskore
  • 10.15.1 Careskore Company Details
  • 10.15.2 Careskore Business Overview
  • 10.15.3 Careskore AI in Healthcare Introduction
  • 10.15.4 Careskore Revenue in AI in Healthcare Business (2019-2020))
  • 10.15.5 Careskore Recent Development
• 11.16 Zephyr Health
  • 10.16.1 Zephyr Health Company Details
  • 10.16.2 Zephyr Health Business Overview
  • 10.16.3 Zephyr Health AI in Healthcare Introduction
  • 10.16.4 Zephyr Health Revenue in AI in Healthcare Business (2019-2020))
  • 10.16.5 Zephyr Health Recent Development
• 11.17 Oncora Medical
  • 10.17.1 Oncora Medical Company Details
  • 10.17.2 Oncora Medical Business Overview
  • 10.17.3 Oncora Medical AI in Healthcare Introduction
  • 10.17.4 Oncora Medical Revenue in AI in Healthcare Business (2019-2020))
  • 10.17.5 Oncora Medical Recent Development
• 11.18 Sentrian
  • 10.18.1 Sentrian Company Details
  • 10.18.2 Sentrian Business Overview
  • 10.18.3 Sentrian AI in Healthcare Introduction
  • 10.18.4 Sentrian Revenue in AI in Healthcare Business (2019-2020))
  • 10.18.5 Sentrian Recent Development
• 11.19 Bay Labs
  • 10.19.1 Bay Labs Company Details
  • 10.19.2 Bay Labs Business Overview
  • 10.19.3 Bay Labs AI in Healthcare Introduction
  • 10.19.4 Bay Labs Revenue in AI in Healthcare Business (2019-2020))
  • 10.19.5 Bay Labs Recent Development
• 11.20 Deep Genomics
  • 10.20.1 Deep Genomics Company Details
  • 10.20.2 Deep Genomics Business Overview
  • 10.20.3 Deep Genomics AI in Healthcare Introduction
  • 10.20.4 Deep Genomics Revenue in AI in Healthcare Business (2019-2020))
  • 10.20.5 Deep Genomics Recent Development
• 11.21 Cloudmedx
  • 10.21.1 Cloudmedx Company Details
  • 10.21.2 Cloudmedx Business Overview
  • 10.21.3 Cloudmedx AI in Healthcare Introduction
  • 10.21.4 Cloudmedx Revenue in AI in Healthcare Business (2019-2020))
  • 10.21.5 Cloudmedx Recent Development

12 Market Dynamics

• 12.1 Drivers
• 12.2 Challenges
• 12.3 Porter’s Five Forces Analysis
• 12.4 Market Ecosystem and Value Chain Analysis

13 Key Findings in This Report

• 13.1 Research Methodology
  • 13.1.1 Methodology/Research Approach
  • 13.1.2 Data Source
• 13.2 Disclaimer

AI in Healthcare market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global AI in Healthcare market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2015-2026.

Market segment by Type, the product can be split into
Hardware
Software
Services

Market segment by Application, split into
Patient Data and Risk Analysis
Lifestyle Management and Monitoring
Precision Medicine
In-Patient Care and Hospital Management
Medical Imaging and Diagnosis
Drug Discovery
Virtual Assistant
Others

Based on regional and country-level analysis, the AI in Healthcare market has been segmented as follows:
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Latin America
Mexico
Brazil
Middle East & Africa
Turkey
Saudi Arabia
UAE

In the competitive analysis section of the report, leading as well as prominent players of the global AI in Healthcare market are broadly studied on the basis of key factors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2015-2020. It also offers detailed analysis supported by reliable statistics on price and revenue (global level) by player for the period 2015-2020.
The key players covered in this study
NVIDIA
Google
IBM
Microsoft
General Vision
Enlitic
Next IT
Welltok
ICarbonX
Recursion Pharmaceuticals
GE
Siemens
Johnson & Johnson
Medtronic
Careskore
Zephyr Health
Oncora Medical
Sentrian
Bay Labs
Deep Genomics